Results 131 to 140 of about 87,373 (338)
HETEROGENEITY OF MYELOMA PROTEINS [PDF]
openaire +3 more sources
Deregulated enhancer‐promoter communication in cancer through altered nuclear architecture
Abstract Enhancers are critical regulators of gene expression. Structural variations in cancer genomes can lead to enhancer hijacking, where oncogenes are activated by mistargeted enhancer activity. Novel enhancer‐promoter interactions may also arise through chromosomal rearrangements that create extrachromosomal DNA elements.
Isabelle Seufert+3 more
wiley +1 more source
IgG myeloma in cerebrospinal fluid with a total protein of 32 mg.-100 ml. [PDF]
K. Gavrilescu, A Papakrivopoulos
openalex +1 more source
Epigenetic reprogramming in multiple myeloma—Challenges and opportunities
Abstract In cancer, mutational processes act in concert with epigenetic reprogramming to endow malignant cells with hallmark properties that underpin tumorigenesis. Compared with the relatively rigid and slow processes of genetic evolution, the plastic nature of chromatin enables cells to adapt to a changing environment more rapidly.
Subhasree Kumar+2 more
wiley +1 more source
Integrating Surface‐Enhanced Raman Scattering (SERS) with machine learning creates a powerful platform for cancer management. This approach enhances diagnostic precision through non‐invasive molecular fingerprinting and enables real‐time therapeutic monitoring. By combining SERS with machine learning, it offers a comprehensive solution for early cancer
Heng‐Zhou He+9 more
wiley +1 more source
Studies on the initiation of protein synthesis in mouse myeloma tumors [PDF]
George H. Jones
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The role of artificial intelligence in pharmacy: Revolutionizing drug development and beyond
This comprehensive review explores the integration of artificial intelligence (AI) in the field of pharmacy, covering advancements in drug discovery, personalized medicine, medication management, and patient care. It synthesizes current research, methodologies, and future prospects, offering insights into how AI technologies are reshaping ...
Usman Shettima Usman+8 more
wiley +1 more source
This study introduces a novel method for uncertainty quantification in machine learning models for cell culture processes, addressing challenges of limited training data. By combining ensemble learning and Monte Carlo simulations, the approach enhances model robustness, as demonstrated in predicting antibody concentrations and real‐time monitoring of ...
Thanh Tung Khuat+3 more
wiley +1 more source